BIG IDEA 2 · 17–22% OF THE EXAM · 4 TOPICS
Data
How computers represent, store, compress, and extract meaning from data. Students underrate this Big Idea because the topics seem simple, then lose points on the precise distinctions — lossy vs. lossless, correlation vs. causation, data vs. information.
What the College Board expects you to walk away understanding
- Everything a computer stores is binary, and the number of bits determines how many distinct values can be represented.
- Compression trades file size against fidelity; lossless keeps everything, lossy discards some.
- Data by itself is not information — information comes from processing, filtering, combining, and interpreting data in context.
- Programs are what make large-scale data analysis possible, and cleaning data is a real, necessary step.
Topics in this Big Idea
Night-before review
Every key term and exam tip from this big idea on one printable page.
□Big Idea 2 cheat sheetprint